Your Guide to Becoming a Better Data Scientist — Machine learning has revolutionized various industries by enabling computers to learn from data and make intelligent decisions. However, in the journey of building machine learning models, it’s easy to stumble upon common mistakes that can hinder progress and lead to sub-optimal results. …

A Data Science Manager’s Guide to Success — In today’s data-driven world, organizations recognize the immense value of data science in driving business insights and innovation. To fully leverage the power of data, building a scalable data science team is crucial. …

Striking the Balance for Successful Adoption and Transformation — With a career spanning over two decades in the industry, I have gained extensive experience as a management consultant and data science leader, advising C-suite clients on technology applications, change management, and AI/ML adoption roadmaps. Working closely with Go-To-Market teams, sales teams, business development teams, product teams, and account managers…

In the ever-changing world of artificial intelligence (AI), generative AI has caught our attention as an innovative technology with exciting potential. It empowers machines to generate fresh and unique content that bears a striking resemblance to existing data while infusing it with imaginative twists and turns. This remarkable capability has…

The Pythonic Guide to Unsupervised Learning — Artificial Intelligence (AI) and Machine Learning (ML) have revolutionized every aspect of our life and disrupted how we do business, unlike any other technology in the the history of mankind. Such disruption brings many challenges for professionals and businesses. …

The data scientist’s guide for using SQL in Python environment. — This article provides an overview of the basic SQL statements for data scientists, and explains how a SQL engine can be instantiated in Python and used for querying data from a database. As a data scientist using Python, you often need to get your data from a relational database that…

Learn how to select the best model for your ML project. — This article provides a quick overview of some of the predictive machine learning models in Python, and serves a guideline in selecting the right model for a data science problem.

Your guide for evaluating the performance of your ML classification project — Machine learning classification and evaluating the models can be a daunting task. This article will attempt to take this ‘confusion’ out of this process by explaining the “confusion matrix”, evaluation metrics, as well as ROC AUC for binary classification problems. …

The beginner’s guide to choropleth maps with GeoPandas in Python — Data visualization is one of the most important steps in presenting data in a project, whether it is to your team, your managers, or your clients or stakeholders. …